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https://github.com/GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
https://github.com/GMvandeVen/continual-learning
artificial-neural-networks class-incremental-learning continual-learning deep-learning distillation domain-incremental-learning elastic-weight-consolidation generative-models gradient-episodic-memory icarl incremental-learning lifelong-learning replay replay-through-feedback task-incremental-learning variational-autoencoder
Last synced: 1 day ago
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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
- Host: GitHub
- URL: https://github.com/GMvandeVen/continual-learning
- Owner: GMvandeVen
- License: mit
- Created: 2018-09-26T19:32:16.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-03-21T09:19:26.000Z (8 months ago)
- Last Synced: 2024-11-05T03:51:42.476Z (9 days ago)
- Topics: artificial-neural-networks, class-incremental-learning, continual-learning, deep-learning, distillation, domain-incremental-learning, elastic-weight-consolidation, generative-models, gradient-episodic-memory, icarl, incremental-learning, lifelong-learning, replay, replay-through-feedback, task-incremental-learning, variational-autoencoder
- Language: Jupyter Notebook
- Homepage:
- Size: 3.14 MB
- Stars: 1,570
- Watchers: 28
- Forks: 311
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
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